Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
38 articles in Cybersecurity · Rust
AI Agent Skills and Plugins: How Developers Should Evaluate Third-Party Extensions
Key Takeaway Not all AI agent skills and plugins are safe. Before installing any third-party extension, evaluate it across six …
AI Agent Supply-Chain Security: Protecting Models, Tools, Skills and Dependencies
Key Takeaway AI agents depend on a complex supply chain of models, packages, MCP servers, skills, plugins, repositories, and co…
Indirect Prompt Injection: When Websites and Documents Attack AI Agents
Key Takeaway Indirect prompt injection occurs when an AI agent processes untrusted external content that contains hidden malici…
Prompt Injection Explained: How AI Applications Can Be Manipulated
Key Takeaway Prompt injection is the #1 vulnerability in LLM applications (OWASP LLM Top 10 2025). It occurs when an attacker m…
Why MCP Security Matters
Key Takeaway --> 🎯 MCP introduces new attack surfaces for AI systems. This 25-point checklist covers authentication, authorization,…
The Double-Edged Sword
Key Takeaway --> 🎯 AI coding agents make junior developers more productive, but productivity without understanding creates fragile …
The Shift in How Code Gets Written
Key Takeaway --> 🎯 Agentic coding doesn't replace traditional programming skills—it amplifies them. Developers who understand algor…
What Does AI Transparency Mean?
AI transparency is not about revealing everything — it's about providing enough evidence for people to understand what an AI system is, whe…
Why AI Changes the Security Model
AI coding agents can read files, modify code, execute commands, and access tools — capabilities that create real security risks. Securing a…
Why LLM Observability Matters
LLM observability goes beyond traditional logging. It requires tracing entire request flows, tracking token usage and costs, monitoring ret…
Why Build a Private RAG System?
Key Takeaway --> 🔑 KEY TAKEAWAY
Can AI Really Run Without a GPU?
You don't need a GPU or a cloud API to start working with modern AI. A consumer CPU, sufficient RAM, an efficient inference runtime, and ca…